Ever thought the work of the masters didn’t look realistic enough to you? Researchers at UC Berkeley have created a way to make classic paintings look frighteningly close to photographs.
The researchers used a process called “image-to-image translation,” which reconstructs paintings as pictures, among other things. According to the article’s abstract:
We present an approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples.
“This event was off the charts”
Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us.
That’s way too many science-y words for me, but the proof is in the pretty pictures, and they don’t come prettier than this Monet-turned-rural landscape.
The researchers also used the process to alter photos to different seasons, or even different objects in the photos. You could, in theory, turn a selfie of you holding an orange in summer into a selfie of you holding an apple in winter … by Van Gogh.